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Ripple effect magnitude prediction (|Δ log P(y)|) on Curated ripple-effect corpus 1.0 (test)

0.854Spearman Correlation (ρs)CLARE
0.286160.433580.5810.72842Mar 11, 2026
Updated 7mo ago

Evaluation results

MethodLinks
CLAREModel=GPT-J, Editing Technique=PRUNE2026.030.854
CLAREModel=GPT-J, Editing Technique=MEMIT2026.030.838
CLAREModel=GPT2-XL, Editing Technique=PRUNE2026.030.822
CLAREModel=GPT-J, Editing Technique=RECT2026.030.805
CLAREModel=GPT-J, Editing Technique=AlphaEdit2026.030.805
CLAREModel=Llama3, Editing Technique=PRUNE2026.030.798
CLAREModel=GPT-J, Editing Technique=ROME2026.030.797
CLAREModel=GPT2-XL, Editing Technique=ROME2026.030.785
CLAREModel=GPT2-XL, Editing Technique=RECT2026.030.774
CLAREModel=Llama3, Editing Technique=MEMIT2026.030.772
CLAREModel=GPT2-XL, Editing Technique=MEMIT2026.030.77
CLAREModel=GPT2-XL, Editing Technique=AlphaEdit2026.030.753
CLAREModel=Llama3, Editing Technique=RECT2026.030.747
CLAREModel=Llama3, Editing Technique=ROME2026.030.706
CLAREModel=Llama3, Editing Technique=AlphaEdit2026.030.697
GradSimModel=GPT-J, Editing Technique=PRUNE2026.030.597
GradSimModel=GPT-J, Editing Technique=MEMIT2026.030.582
GradSimModel=GPT2-XL, Editing Technique=PRUNE2026.030.558
GradSimModel=GPT2-XL, Editing Technique=AlphaEdit2026.030.55
GradSimModel=GPT-J, Editing Technique=RECT2026.030.549
GradSimModel=GPT-J, Editing Technique=AlphaEdit2026.030.547
GradSimModel=GPT2-XL, Editing Technique=MEMIT2026.030.545
GradSimModel=GPT2-XL, Editing Technique=ROME2026.030.544
GradSimModel=GPT2-XL, Editing Technique=RECT2026.030.531
GradSimModel=GPT-J, Editing Technique=ROME2026.030.509
GradSimModel=Llama3, Editing Technique=MEMIT2026.030.471
GradSimModel=Llama3, Editing Technique=RECT2026.030.432
GradSimModel=Llama3, Editing Technique=PRUNE2026.030.428
GradSimModel=Llama3, Editing Technique=AlphaEdit2026.030.339
GradSimModel=Llama3, Editing Technique=ROME2026.030.308